Agy Delegate logo

Agy Delegate

CommunityPopular
amElnagdy
agy-delegate

Delegate a coding task to the Google Antigravity CLI (`agy`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Antigravity or agy - phrasings like "have Antigravity do X", "delegate this to agy", "run it through agy", or "use Antigravity to implement/fix/refactor" - or wants to run a queue of coding tasks through agy while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Overview

PublisheramElnagdy
Repositorydelegate-skills
Skill nameagy-delegate
Stars
2.1K
Forks
167
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by amElnagdy on GitHub. Read the source before you install it.

Installation

Install the Agy Delegate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/amElnagdy/delegate-skills.git /tmp/delegate-skills
mkdir -p .claude/skills
cp -r /tmp/delegate-skills/skills/agy-delegate .claude/skills/agy-delegate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agy Delegate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agy Delegate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agy Delegate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Antigravity Delegate

You are the orchestrator. This skill lets you hand a bounded coding task to a separate implementer - the Google Antigravity CLI (agy) - then review what it produced and land it yourself. You write the brief and own the judgment; Antigravity does the typing in its own conversation; you verify and commit.

Nothing here is specific to one orchestrating agent. The loop needs only the ability to run a shell command and read a file, so any comparable agent can drive it. It is designed for and run on Claude Code; treat other orchestrators as designed-for, not yet proven.

When NOT to use this

  • The task is small enough to just do inline - delegation overhead is not worth it.
  • The agy CLI is not installed or not authenticated. Install it from Antigravity's CLI docs and run the first-launch setup.
  • You want to write the code yourself, or you only need Antigravity's opinion on code you wrote (a --read-only dispatch covers review without edits, but a plain review may not need delegation at all).

Prerequisites (check once)

  1. agy help succeeds. If not, install the Antigravity CLI and complete first-launch setup.
  2. agy models succeeds. That proves the CLI can authenticate and list the available model labels.
  3. You are in (or will point --cd at) the target git repository.

These checks do not prove that a headless write will be approved. In --print mode, Antigravity cannot prompt for a write permission and may auto-deny it. The relay detects that denial instead of reporting completion.

Choose the implementer model

agy has a configured default model, so --model is optional. Use it when the human has a preferred Antigravity model label for the task. Otherwise let Antigravity use its own current default rather than guessing.

The loop

Run these five steps per task. Steps 1, 4, and 5 are your judgment; 2 and 3 are mechanical.

1. Write the brief

Antigravity sees only the text you send plus what it can inspect in the workspace - no chat history, no shared context. Everything the task needs goes in the brief: the goal, the current state, what to change, what to leave untouched, the project's actual gate commands, and a report contract. Tell Antigravity it will not commit (you will). Keep one task per brief. Full guidance and a template: references/writing-the-brief.md.

2. Dispatch

Send the brief to Antigravity with the bundled helper. It wraps agy --print, captures the run, and writes a structured result.json - so your only job is "run a command, read a file." (<skill-dir> below is this skill's installed directory - the folder containing this SKILL.md.)

bash
node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo
# choose a model label:                 add --model "<label from agy models>"
# reasoning effort (low, medium, high): add --effort high
# read-only (plan mode — no edits):     add --read-only
# enable Antigravity terminal sandbox:  add --sandbox
# resume the most recent conversation:  add --resume-last  (delta brief only)
# see all options:                      node .../relay.mjs --help

The helper starts a fresh Antigravity project by default and passes --add-dir <repo> (the --cd path, absolute) so agy has an explicit workspace. It does not pass --dangerously-skip-permissions by default. Mechanics, flags, and the result.json shape: references/dispatch-and-poll.md.

3. Wait for completion

The helper blocks until Antigravity finishes, so back it with whatever your orchestrator offers and resume when it returns:

  • Claude Code: run the Bash call with run_in_background: true; you are notified on completion.
  • Plain shell / other agents: run it in the foreground for short tasks, or background it and poll the result file.

Do not trust progress trackers over reality: a run is finished when result.json is written and the process has exited. Read the working tree, not a status line. The implementer's full report is the finalMessage field in result.json (also printed in full on stdout between the report markers).

4. Review - do not trust the self-report

Antigravity's result.json includes its own final message and any gate claims. Re-verify, don't accept:

  • Re-run the project's gates yourself (the test/lint/build commands from step 1).
  • Read the diff against the brief: did Antigravity do what was asked, nothing more and nothing less? touchedFiles in the result is your starting point.
  • Run the relevant guard skills on the diff if you have them installed.
  • For schema/migration changes, round-trip them; for removals, grep for dangling references.

Full checklist: references/review-and-land.md.

5. Land it

The implementer edits the working tree; the orchestrator commits. Only after the gates pass and the diff holds:

  • Commit the verified work yourself, with a clear message.
  • If it needs changes, send a delta brief with --resume-last and review again.

Permission model

Antigravity owns its own permission policy. The relay does not bypass it by default. Use --dangerously-skip-permissions only when the human explicitly accepts that Antigravity may auto-approve tool permission requests. --read-only runs agy in plan mode (--mode plan), removing write and edit paths, and is mutually exclusive with --dangerously-skip-permissions. Use --sandbox when you want Antigravity's terminal sandbox enabled for the run. Antigravity's own help says --dangerously-skip-permissions auto-approves all tool permission requests without prompting, including a request to act outside the sandbox. Do not treat --sandbox as an enforced boundary when the flags are combined; treat the run as full access. If headless --print auto-denies a write, the relay reports status: "failed" and exits non-zero. The relay fingerprints the working tree before and after a --read-only run to report readOnlyViolation in result.json. Settings allow-rules under permissions.allow in ~/.gemini/antigravity-cli/settings.json do apply to headless --print runs — a write_file rule naming the workspace is what allows a headless write. On Windows, however, an open upstream defect in Antigravity's permission engine (issue #614) splits resolved paths on whitespace, preventing command(<name>) rules from matching binaries installed under paths with spaces such as C:\Program Files\.... See references/dispatch-and-poll.md for Windows workarounds. Do not add the bypass flag without explicit human approval.

Authorization model

Delegation is something the human opts into. Once they have ("run this queue", "proceed"), committing verified, gate-passing work is the agreed contract. Two limits on that mandate: surface, don't absorb (report Antigravity's design decisions, defensible-but-unasked turns, and non-blocking nitpicks rather than silently keeping them) and stop for scope changes (if correct completion needs going beyond the brief, ask - don't expand the mandate yourself). The full treatment is in references/review-and-land.md.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agy Delegate AI skill do?

Delegate a coding task to the Google Antigravity CLI (`agy`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Antigravity or agy - phrasings like "have Antigravity do X", "delegate this to agy", "run it through agy", or "use Antigravity to implement/fix/refactor" - or wants to run a queue of coding tasks through agy while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Why use Agy Delegate on TypingMind?

Because you install it once and use it with any model. Agy Delegate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agy Delegate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/amElnagdy/delegate-skills/tree/master/skills/agy-delegate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agy Delegate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agy Delegate?

As many as you like. As long as a model supports skills, you can use Agy Delegate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agy Delegate AI skill free?

Yes. It is published on GitHub by amElnagdy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇